AISJIntel helps an international school move from scattered evidence, late surprises, and meeting-based follow-through into a disciplined quality culture where standards are named, drift is sensed early, action is owned, and governance can see progress over time.
AISJIntel inspects your authenticated token role and routes you directly to your specialized portal view.
Expectations are written down, but they are not always connected to daily evidence or ownership.
Each standard has an owner, evidence sources, cadence, threshold, and approval state.
Attendance, assessment, HR, incidents, observations, and feedback sit in separate places.
Indicators turn existing systems into a continuous quality-sensing layer.
Misses are discussed, but ownership, due dates, evidence, and escalation are easy to lose.
Action plans carry owner, deadline, status, escalation, notes, closure evidence, and review history.
Governance gets polished reporting after the fact, often without source confidence or unresolved risk.
Board review stays PII-safe while showing adherence, misses, overdue actions, and source quality.
Every educator, executive, parent, and student gets a dedicated, secure interface tailored to their workflow.
Executive mission control unifying academic performance, financial and HR indicators, risk detection, strategic OKR tracking, and AI-grounded board report briefings.
Generated report contains 12 verified data claims citing attendance, NWEA RIT aggregates, and staff retention. Zero unverified claims detected.
STEM & AP Excellence
Holistic Student Wellbeing
Digital ID cards, surveys, incidents, evaluations, board packs and more — native to the platform, sharing one identity model and one audit trail. Filter by area to see what it does and which forms, spreadsheets, kiosks and group chats it replaces.
A living ID card on the student’s phone — not a plastic badge.
Who is on campus, right now, and who signed them in.
Every incident logged once, linked to the students involved.
Fire, lockdown and evacuation drills with a compliance trail.
One tap to trigger, every staff phone knows within seconds.
Six survey families, one engine, k-anonymity by default.
Anonymous pulses and student-voice support requests, with safety disclosures that can never be silently dropped.
A nightly risk score per student — with a plain-language “why”.
A tracked channel for parents and students to raise a concern.
Versioned rubrics, criterion-level scoring, and evidence — permanently bound to the version an observation was scored against.
NWEA MAP results where teachers and parents already are.
Publish once; every parent is notified and every download is logged.
Daily attendance from the SIS, with alerts before it becomes a problem.
Headcount, leave and staff attendance — synced from ZenHR, seen by leadership.
Clock in and out from a phone — timestamped and tenant-scoped.
Pillars → goals → key results, with dated check-ins.
Standards, indicators, review cycles and owned action plans.
AI-drafted board packs where every claim is cited and reviewed.
Broadcasts, direct messages, threads and emergency alerts — with delivery receipts.
One bell, one nightly digest, user-controlled preferences.
One calendar, scoped to what each role should see.
Add a school, its users, its rubric and its data sources — from a wizard.
PowerSchool, NWEA MAP and ZenHR pulled nightly into an immutable raw layer.
Retention policies, consent records, and one-click export / anonymize.
Your SIS, HRIS and assessment vendor stay. Everything around them — the forms, spreadsheets, kiosks, group chats and slide decks — collapses into governed modules that share one identity model and one audit trail.
| Today | With AISJIntel | |
|---|---|---|
| Google Forms · SurveyMonkey · vendor climate surveys | ||
| Plastic ID cards · badge printers · paper hall passes | ||
| Paper visitor books · visitor kiosks | ||
| Word / Excel observation forms · standalone eval tools | ||
| Mass email · WhatsApp groups · SMS blasts | ||
| PowerPoint board decks · unsourced stats | ||
| Strategic-plan PDFs · OKR spreadsheets | ||
| Accreditation binders · self-study spreadsheets | ||
| Spreadsheet watch-lists for struggling students | ||
| Paper incident & drill logs | ||
| PA-only lockdowns · phone trees | ||
| Punch clocks · manual timesheets | ||
| Report cards as PDF attachments | ||
| CSV exports between SIS, HRIS and assessment vendors |
How AISJIntel transforms siloed school data into audit-ready, real-time intelligence with zero manual spreadsheets.
Scheduled synchronization jobs query source APIs, manage rate limits, and record raw payloads with status freshness decay.
Raw payloads land in immutable staging tables with tombstone tracking, payload hashing, and duplicate-safe upsert constraints.
SQL transforms compute RIT percentiles, attendance rates, and 4-factor risk weights (30% MAP, 30% Attendance, 25% Wellbeing, 15% Incidents).
LLM executive briefings are strictly bound to database snapshots. Any claim without direct source citations or matching aggregates is blocked.
Tenant, role, and division controls protect the primary web, API, database, and mobile boundaries while hardening continues toward launch readiness.
AISJIntel replaces subjective guesswork with deterministic multi-factor scoring and verified claim citations.
4-Signal Multi-Tenant Deterministic Formula
Factor Explanation: MAP component (0.52 × 0.3) + Attendance (0.75 × 0.3) + Wellbeing (0.40 × 0.25) + Incidents (0.50 × 0.15) = 0.556.
Sentence-by-sentence cryptographic citation verification
"Elementary attendance reached 95.2% over the last 30 days. [attendance]"
Verified against snapshot hash e8f7...49a1 in analytics.student_attendance. Sentence matches the 95.2% recorded in aggregate.
The work is not to collect more dashboards. The work is to build the habit that connects standards, evidence, action, and review.
Define the standards that matter across instruction, staffing, behavior, communication, safety, finance, and trust.
Use existing systems and native workflows to sense whether the school is living up to those standards.
Turn missed thresholds into explicit action plans instead of leaving them as dashboard observations.
Give executives and the board a recurring view of standards adherence, overdue work, and unresolved risk.
Build the habit: define, sense, act, review, and keep going until the school becomes more reliable.
AISJIntel is a Quality OS: standards define what good means, evidence shows whether the school is drifting, actions make misses owned, and governance keeps follow-through visible.
Board-approved expectations with owner role, evidence sources, review cadence, thresholds, visibility, and approval state.
PowerSchool, NWEA, ZenHR, observations, incidents, wellbeing, interventions, comms, KRs, and connector health feed the truth layer.
Missed indicators create action plans with owner, due date, escalation, status, notes, closure evidence, and history.
Board-facing review is aggregate-only, source-backed, and focused on accountability instead of private student or staff records.
School intelligence cannot compromise student privacy. AISJIntel combines cryptographic verification, RLS tenant controls, retention tools, and privacy workflows that schools can configure as part of their FERPA and GDPR programs.
Primary portal queries use tenant-scoped RLS (`tenant_id = current_tenant_id()`), while privileged backend paths require separate authorization controls.
Data export and anonymization workflows support school-managed data-subject requests while preserving aggregate reporting integrity.
Report card and student record downloads generate temporary, time-bounded signed URLs with audit logging in `native.storage_access_events`.
Student ID cards refresh every 30 seconds with HMAC-SHA256 signatures and explicit tenant identity, reducing replay and forgery risk.
Web cron and sync bridges validate configured bearer tokens with `crypto.timingSafeEqual`; Edge jobs also require dedicated scheduler secrets.
Board routes are designed around approved reports and aggregate queries rather than individual student or teacher records.
Anonymous wellbeing pulses use CHECK constraints, an RLS blackout, and hour-coarsened timestamps. The portal aggregate RPC suppresses cohorts below 10 responses.
High-severity safeguarding audit events are cryptographically hash-chained, so after-the-fact tampering is detectable. The chain is verifiable end-to-end for tamper detection.
Survey, pulse, and support forms are gated behind a versioned, plain-language privacy notice once one is published. Republishing a notice requires fresh consent — consent from an earlier version never carries forward.
Published rubric versions can never be edited in place. Changes go through copy-on-write drafts, and every observation stays permanently bound to the exact rubric version it was scored against.
International schools are judged by academic quality, safety, staffing, communication, financial stewardship, and trust at the same time. AISJIntel connects those responsibilities into one quality discipline, so improvement is not a campaign. It becomes the way the school runs.
Student information, attendance, grades, guardian links
Assessment, RIT, percentile, and growth evidence
Staff records, attendance, leave, and workforce evidence
Observations, incidents, wellbeing, interventions, comms, board reports
Admissions and reenrollment intent signals
Finance, work tracking, and external intelligence inputs
AISJIntel gives your school the system for those weeks: standards, signals, action, review, and the discipline to repeat.